IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v41y2009i7p593-604.html
   My bibliography  Save this article

Detectability study for statistical monitoring of multivariate dynamic processes

Author

Listed:
  • Nan Chen
  • Shiyu Zhou

Abstract

Fault detection and diagnosis for dynamic processes is an intensively investigated area. However, the problem of determining whether or not system faults can be successfully detected based on the output measurements for a given dynamic process remains an open research topic. An intrinsic definition of fault detectability in multivariate dynamic processes is proposed in this paper. It defines the detectability in an intrinsic manner as a system property, without any reference to any specific fault detection algorithm. Furthermore, the relationship between system structure and the detectability for mean change faults and variability change faults are investigated. Analytical criteria for checking the system detectability are established. The results presented in this paper can provide guidelines on system design improvement for process monitoring and control. A case study is presented that illustrates the effectiveness of the proposed methods.

Suggested Citation

  • Nan Chen & Shiyu Zhou, 2009. "Detectability study for statistical monitoring of multivariate dynamic processes," IISE Transactions, Taylor & Francis Journals, vol. 41(7), pages 593-604.
    • Handle: RePEc:taf:uiiexx:v:41:y:2009:i:7:p:593-604
    DOI: 10.1080/07408170802389308
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/07408170802389308
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/07408170802389308?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:uiiexx:v:41:y:2009:i:7:p:593-604. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.